4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CR2024
A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning
Anqi Zhou, Yezheng Liu, Yidong Chai +4
Federated Learning (FL) has garnered widespread adoption across various domains such as finance, healthcare, and cybersecurity. Nonetheless, FL remains under significant threat fro…
cs.LG2021★ 1 cited
Learning Non-Stationary Time-Series with Dynamic Pattern Extractions
Xipei Wang, Haoyu Zhang, Yuanbo Zhang +4
The era of information explosion had prompted the accumulation of a tremendous amount of time-series data, including stationary and non-stationary time-series data. State-of-the-ar…
cs.LG2020★ 4 cited
RCC-Dual-GAN: An Efficient Approach for Outlier Detection with Few Identified Anomalies
Zhe Li, Chunhua Sun, Chunli Liu +3
Outlier detection is an important task in data mining and many technologies have been explored in various applications. However, due to the default assumption that outliers are non…